[HTML][HTML] Artificial neural networks: a practical review of applications involving fractional calculus
In this work, a bibliographic analysis on artificial neural networks (ANNs) using fractional
calculus (FC) theory has been developed to summarize the main features and applications …
calculus (FC) theory has been developed to summarize the main features and applications …
A survey of fractional calculus applications in artificial neural networks
Artificial neural network (ANN) is the backbone of machine learning, specifically deep
learning. The interpolating and learning ability of an ANN makes it an ideal tool for …
learning. The interpolating and learning ability of an ANN makes it an ideal tool for …
Quasi-uniform synchronization of Caputo type fractional neural networks with leakage and discrete delays★
This paper discusses the quasi-uniform synchronization issue for fractional-orderneural
networks (FONNs) with leakage and discrete delays. The impacts of leakage delay, discrete …
networks (FONNs) with leakage and discrete delays. The impacts of leakage delay, discrete …
Hybrid control design for Mittag-Leffler projective synchronization on FOQVNNs with multiple mixed delays and impulsive effects
This article discusses the global Mittag-Leffler projective synchronization (GM-LPS) on
fractional-order quaternion-valued neural networks (FOQVNNs) including mixed delays and …
fractional-order quaternion-valued neural networks (FOQVNNs) including mixed delays and …
Global nonfragile synchronization in finite time for fractional-order discontinuous neural networks with nonlinear growth activations
X Peng, H Wu, J Cao - IEEE Transactions on Neural Networks …, 2018 - ieeexplore.ieee.org
This paper is concerned with the global nonfragile Mittag-Leffler synchronization and the
global synchronization in finite time for fractional-order discontinuous neural networks …
global synchronization in finite time for fractional-order discontinuous neural networks …
Quasi-projective synchronization of fractional-order complex-valued recurrent neural networks
S Yang, J Yu, C Hu, H Jiang - Neural Networks, 2018 - Elsevier
In this paper, without separating the complex-valued neural networks into two real-valued
systems, the quasi-projective synchronization of fractional-order complex-valued neural …
systems, the quasi-projective synchronization of fractional-order complex-valued neural …
Global Mittag-Leffler stability and synchronization analysis of fractional-order quaternion-valued neural networks with linear threshold neurons
This paper talks about the stability and synchronization problems of fractional-order
quaternion-valued neural networks (FQVNNs) with linear threshold neurons. On account of …
quaternion-valued neural networks (FQVNNs) with linear threshold neurons. On account of …
Quasi-uniform synchronization of fractional fuzzy discrete-time delayed neural networks via delayed feedback control design
This paper is concerned with the quasi-uniform synchronization (Q-US) issues of discrete
fractional fuzzy neural networks (DFFNNs) with time delays. Firstly, we analyze the neural …
fractional fuzzy neural networks (DFFNNs) with time delays. Firstly, we analyze the neural …
Stability and synchronization criteria for fractional order competitive neural networks with time delays: An asymptotic expansion of Mittag Leffler function
Competitive neural networks (CNNs) has not been well developed in nonlinear fractional
order dynamical system, which is developed first time in this paper. Then, by means of a …
order dynamical system, which is developed first time in this paper. Then, by means of a …
Lag projective synchronization of nonidentical fractional delayed memristive neural networks
In this paper, lag projective synchronization of nonidentical fractional delayed memristive
neural networks (NFDMNN) is investigated. Due to the existence of memristor, the analysis …
neural networks (NFDMNN) is investigated. Due to the existence of memristor, the analysis …